Replace Object_Tracker2.py

Object_Tracker/Object_Tracker2.py

+#REFERENCE MATERIAL
+#https://livecodestream.dev/post/object-tracking-with-opencv/
+
 import cv2
 import sys
 import csv
+import pandas as pd 
 
 
 (major_ver, minor_ver, subminor_ver) = (cv2.__version__).split('.')
-
-frameNo = 0
-
+ 
 if __name__ == '__main__' :
-    # Set up tracker.
-    # Instead of MIL, you can also use
-
+ 
+    # Set up tracker
+ 
     tracker_types = ['BOOSTING', 'MIL','KCF', 'TLD', 'MEDIANFLOW', 'GOTURN', 'MOSSE', 'CSRT']
-
     tracker_type = tracker_types[7]
-
+ 
     if int(minor_ver) < 3:
         tracker = cv2.Tracker_create(tracker_type)
     else:
         if tracker_type == 'BOOSTING':
             tracker = cv2.TrackerBoosting_create()
-        if tracker_type == 'MIL':
+        elif tracker_type == 'MIL':
             tracker = cv2.TrackerMIL_create()
-        if tracker_type == 'KCF':
+        elif tracker_type == 'KCF':
             tracker = cv2.TrackerKCF_create()
-        if tracker_type == 'TLD':
+        elif tracker_type == 'TLD':
             tracker = cv2.TrackerTLD_create()
-        if tracker_type == 'MEDIANFLOW':
+        elif tracker_type == 'MEDIANFLOW':
             tracker = cv2.TrackerMedianFlow_create()
-        if tracker_type == 'GOTURN':
-            tracker = cv2.TrackerGOTURN_create()
-        if tracker_type == 'MOSSE':
+        elif tracker_type == 'GOTURN':
+             tracker = cv2.TrackerGOTURN_create()
+        elif tracker_type == 'MOSSE':
             tracker = cv2.TrackerMOSSE_create()
-        if tracker_type == "CSRT":
+        elif tracker_type == "CSRT":
             tracker = cv2.TrackerCSRT_create()
 
-    # Read video
-    video = cv2.VideoCapture("EYEDIAP/EYEDIAP/1_A_FT_M/1_A_FT_M.mov")
-    # VIDEO_STREAM = 'eyediap1.mov'
-    VIDEO_STREAM_OUT = 'output_eyediap1_ot2.mp4'
-    fourcc = cv2.VideoWriter_fourcc(*'XVID')
-    
-
-    # video = cv2.VideoCapture(VIDEO_STREAM)
-    ok, frame = video.read()
-    # frame = cv2.resize(frame, (640,360), interpolation=cv2.INTER_AREA) #original
-    # frame = cv2.resize(frame, (640,480), interpolation=cv2.INTER_AREA) #edited to resize
-    # frame = cv2.resize(frame, (1120,790), interpolation=cv2.INTER_AREA) #full screen size
-    writer = cv2.VideoWriter(VIDEO_STREAM_OUT, fourcc, 30, (frame.shape[1],frame.shape[0]), True)
-
-
-    # Exit if video not opened.
-    if not video.isOpened():
-        # print 'Could not open video'
-        sys.exit()
-
-    # Read first frame.
-    ok, frame = video.read()
-    if not ok:
-        # print 'Cannot read video file'
-        sys.exit()
-
-    # Define an initial bounding box
-    #bbox = (287, 23, 86, 320)
-
-    # Uncomment the line below to select a different bounding box
-    bbox = cv2.selectROI(frame, False)
-
-    # Initialize tracker with first frame and bounding box
-    ok = tracker.init(frame, bbox) 
-    print(frame.shape)
-
-#Writing data to the csv file
-with open('1_A_FT_M.csv', mode='w') as object_track_file:
-    OT_writer = csv.writer(object_track_file, delimiter=',', quotechar='"', quoting=csv.QUOTE_MINIMAL)
-    OT_writer.writerow(['Frame_number','x_displacement','y_displacement', 'Tracker_x1', 'Tracker_y1', 'Tracker_x2', 'Tracker_y2'])
-
-    while True:
-        #incrementing the frame count
-        frameNo = frameNo + 1
-        # Read a new frame
-        ok, frame = video.read()
-        if not ok:
-            break
-
-        # Start timer
-        timer = cv2.getTickCount()
-
-        # Update tracker
-        ok, bbox = tracker.update(frame)
-
-        # Calculate Frames per second (FPS)
-        fps = cv2.getTickFrequency() / (cv2.getTickCount() - timer)
-    
-
-        # Draw bounding box
-        if ok:
-            # Tracking success
-            p1 = (int(bbox[0]), int(bbox[1]))
-            p2 = (int(bbox[0] + bbox[2]), int(bbox[1] + bbox[3]))
-
-            x1 = int(bbox[0])
-            y1 = int(bbox[1])
-            x2 = int(bbox[0] + bbox[2])
-            y2 = int(bbox[1] + bbox[3])
-            x1y1 = x1,y1
-            x2y2 = x2,y2
-
-
-            cv2.rectangle(frame, p1, p2, (255,0,0), 2, 1)
-
-            #centroid Calculation
-            avgX = (p1[0]+p2[0])/2
-            avgY = (p1[1]+p2[1])/2
-
-            print("Frame No : " + str(int(frameNo)))
-            print("FPS : " + str(int(fps)),"----", p1, " , ", p2)
-            print("X displacement = ", avgX)
-            print("Y displacement = ", avgY)
-            # print('x1y1:',x1y1, '.....', 'x2y2:', x2y2)
-            print("-----------------------------------------------")
-
-            
-            # Writing data to the csv file
-            OT_writer.writerow([frameNo, avgX, avgY, x1, y1, x2, y2])
-            
-
-        else :
-
-            # Tracking failure
-            cv2.putText(frame, "Tracking failure detected", (100,80), cv2.FONT_HERSHEY_SIMPLEX, 0.75,(0,0,255),2)
-
-        # Display tracker type on frame
-        cv2.putText(frame, tracker_type + " Tracker", (100,20), cv2.FONT_HERSHEY_SIMPLEX, 0.75, (50,170,50),2);
-
-        # cv2.putText(frameNo, "FRAME No : " + str(int(frameNo)), (100,50), cv2.FONT_HERSHEY_SIMPLEX, 0.75, (50,170,50), 2);
-     
-        # Display FPS on frame
-        cv2.putText(frame, "FPS : " + str(int(fps)), (100,50), cv2.FONT_HERSHEY_SIMPLEX, 0.75, (50,170,50), 2);
-
-        # Display result
-        cv2.imshow("Tracking", frame)
+# Read video
+video = cv2.VideoCapture('EYEDIAP\EYEDIAP\_6_A_FT_M\_6_A_FT_M.mov')
+
 
-        # Exit if ESC pressed
-        k = cv2.waitKey(1) & 0xff
-        if k == 27 : break
+# Exit if video not opened.
+if not video.isOpened():
+  print("Could not open video")
+  sys.exit()
+
+# Read first frame.
+ok, frame = video.read()
+if not ok:
+  print ('Cannot read video file')
+  sys.exit()
+
+# Define an initial bounding box
+bbox = (287, 23, 86, 320)
+
+# Uncomment the line below to select a different bounding box
+bbox = cv2.selectROI(frame, False)
+
+# Initialize tracker with first frame and bounding box
+ok = tracker.init(frame, bbox)
+
+# Defining arrays to store values
+df_frame, df_centerX, df_centerY, df_x1, df_y1, df_x2, df_y2 = [],[],[],[],[],[],[]
+
+frameNo = 0
 
-cv2.destroyAllWindows()
-writer.release()
+while True:
+    # Frame count
+     frameNo += 1
+
+     # Read a new frame
+     ok, frame = video.read()
+     if not ok:
+         break
+      
+     # Start timer
+     timer = cv2.getTickCount()
+
+     # Update tracker
+     ok, bbox = tracker.update(frame)
+
+     # Calculate Frames per second (FPS)
+     fps = cv2.getTickFrequency() / (cv2.getTickCount() - timer);
+
+     # Draw bounding box
+     if ok:
+         # Tracking success
+         p1 = (int(bbox[0]), int(bbox[1]))
+         p2 = (int(bbox[0] + bbox[2]), int(bbox[1] + bbox[3]))
+
+         x1 = int(bbox[0])
+         y1 = int(bbox[1])
+         x2 = int(bbox[0] + bbox[2])
+         y2 = int(bbox[1] + bbox[3])
+         x1y1 = x1,y1
+         x2y2 = x2,y2
+         #centroid Calculation
+         avgX = (p1[0]+p2[0])/2
+         avgY = (p1[1]+p2[1])/2
+        
+         cv2.rectangle(frame, p1, p2, (255,0,0), 2, 1)
+
+     else :
+         # Tracking failure
+         cv2.putText(frame, "Tracking failure detected", (100,80), cv2.FONT_HERSHEY_SIMPLEX, 0.75,(0,0,255),2)
+
+         #Initializing values
+         avgX = 0
+         avgY = 0
+         x1 = 0
+         y1 = 0
+         x2 = 0
+         y2 = 0
+         
+     df_frame.append(frameNo)
+     df_centerX.append(avgX) 
+     df_centerY.append(avgY)
+     df_x1.append(x1) 
+     df_y1.append(y1)
+     df_x2.append(x2) 
+     df_y2.append(y2)
+
+     print("Frame No : " + str(int(frameNo)))
+     print("FPS : " + str(int(fps)),"----", p1, " , ", p2)
+     print("X displacement = ", avgX)
+     print("Y displacement = ", avgY)
+    # print('x1y1:',x1y1, '.....', 'x2y2:', x2y2)
+     print("-----------------------------------------------")
+           
+     # Display tracker type on frame
+     cv2.putText(frame, tracker_type + " Tracker", (100,20), cv2.FONT_HERSHEY_SIMPLEX, 0.75, (50,170,50),2);
+  
+     # Display FPS on frame
+     cv2.putText(frame, "FPS : " + str(int(fps)), (100,50), cv2.FONT_HERSHEY_SIMPLEX, 0.75, (50,170,50), 2);
+     # Display result
+     cv2.imshow("Tracking", frame)
+
+     # Exit if ESC pressed
+     if cv2.waitKey(1) & 0xFF == ord('q'): # if press SPACE bar
+         break
+
+# CSV File generation
+df_dict = {'Frame_number': df_frame, 'Tracker_center(x)': df_centerX, 'Tracker_center(y)': df_centerY,'Tracker_x1':df_x1, 'Tracker_y1':df_y1, 'Tracker_x2':df_x2, 'Tracker_y2':df_y2}
+df = pd.DataFrame(df_dict)
+print(df.head)
+df.to_csv("csv_files/Eyediap_csv/Tracker_output_6_A_FT_M.csv", index=False)
+
+
+video.release()
+cv2.destroyAllWindows()
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